Search Options

Results per page
Sort
Preferred Languages
Advance

Results 1 - 7 of 7 for Chollet (0.19 sec)

  1. LICENSE

    COPYRIGHT
    
    All contributions by François Chollet:
    Copyright (c) 2015 - 2019, François Chollet.
    All rights reserved.
    
    All contributions by Google:
    Copyright (c) 2015 - 2019, Google, Inc.
    All rights reserved.
    
    All contributions by Microsoft:
    Copyright (c) 2017 - 2019, Microsoft, Inc.
    All rights reserved.
    
    All other contributions:
    Copyright (c) 2015 - 2019, the respective contributors.
    All rights reserved.
    
    Plain Text
    - Registered: 2020-06-23 21:59
    - Last Modified: 2019-03-17 22:19
    - 1.6K bytes
    - Viewed (0)
  2. setup.py

    and is distributed under the MIT license.
    '''
    
    setup(name='Keras',
          version='2.4.2',
          description='Deep Learning for humans',
          long_description=long_description,
          author='Francois Chollet',
          author_email='francois.chollet@gmail.com',
          url='https://github.com/keras-team/keras',
          download_url='https://github.com/keras-team/keras/tarball/2.4.2',
          license='MIT',
          install_requires=['numpy>=1.9.1',
    Python
    - Registered: 2020-06-23 21:59
    - Last Modified: 2020-06-19 04:32
    - 1.6K bytes
    - Viewed (0)
  3. TODO/tensorflow-in-a-nutshell-part-one-basics.md

    
    
    
    
    
    
    
    
    ![](https://cdn-images-1.medium.com/max/1600/1*PMimtWrXXOIYvIw7nUrp5w.jpeg)
    
    
    
    作者 Francois Chollet @fchollet (twitter)
    
    
    
    #### 基本计算图
    
    TensorFlow 中一切的一切都是基于创建计算图。用过 Theano 的读者应该会对本节非常熟悉。不妨将计算图看成节点网络,每个节点都是一种操作,可以运行函数,包括简单的加减甚至复杂的多元方程。
    
    每个操作也表示能返回零个或多个张量的操作符,返回的张量可以稍后在图中使用。下面是一些操作及其输出的例子:
    
    ``` python
    Plain Text
    - Registered: 2020-07-09 14:49
    - Last Modified: 2017-02-13 03:43
    - 7.8K bytes
    - Viewed (0)
  4. src/Faker/Provider/fr_CH/Person.php

            'Castella', 'Cattin', 'Chappuis', 'Chapuis', 'Chassot', 'Chatelain', 'Chevalley', 'Chollet', 'Christen', 'Clerc', 'Clément', 'Constantin', 'Crausaz',
            'Da Silva', 'Darbellay', 'Demierre', 'dos Santos', 'Droz', 'Dubois', 'Dubuis', 'Duc', 'Dévaud',
            'Egger', 'Emery',
    PHP
    - Registered: 2020-06-23 13:09
    - Last Modified: 2019-09-03 07:47
    - 7.9K bytes
    - Viewed (0)
  5. docs/templates/getting-started/faq.md

    ---
    
    ### How should I cite Keras?
    
    Please cite Keras in your publications if it helps your research. Here is an example BibTeX entry:
    
    ```
    @misc{chollet2015keras,
      title={Keras},
      author={Chollet, Fran\c{c}ois and others},
      year={2015},
      howpublished={\url{https://keras.io}},
    }
    ```
    
    ---
    
    ### How can I run Keras on GPU?
    
    Plain Text
    - Registered: 2020-06-23 21:59
    - Last Modified: 2019-01-09 21:32
    - 25.5K bytes
    - Viewed (0)
  6. ch15_GPU和框架选型/第十五章_异构运算、GPU及框架选型.md

    
    相关资源链接:  
       1. 官网教程:https://pytorch.org/tutorials/
       2. 基于pytorch的开源项目汇总:https://github.com/bharathgs/Awesome-pytorch-list
       3.
    
    * Keras
    Keras 是一个更高级、对用户最友好的 API,具有可配置的后端,由 Google Brain 团队成员 Francis Chollet 编写和维护
    优点:  
       1. 提供高级 API 来构建深度学习模型,使其易于阅读和使用 
       2. 编写规范的文档
       3. 大型、活跃的社区
       4. 位于其他深度学习库(如 Theano 和 TensorFlow,可配置)之上
       5. 使用面向对象的设计,因此所有内容都被视为对象(如网络层、参数、优化器等)。所有模型参数都可以作为对象属性进行访问
    缺点:  
    Plain Text
    - Registered: 2020-09-13 15:33
    - Last Modified: 2020-05-21 10:44
    - 27.7K bytes
    - Viewed (0)
  7. RELEASE.md

    Ito-Fisher, eashtian3, Edward Forgacs, EFanZh, ejot, Elroy Ashtian Jr, Eric
    Schweitz, Evgeniy Polyakov, Fangjun Kuang, Federico Martinez, Fei Hu, Felix
    Lemke, Filip Matzner, FlashTek, fo40225, formath, FrançOis Chollet, frreiss,
    Fred Reiss, Frederic Bastien, Fredrik Knutsson, G. Hussain Chinoy, Gabriel,
    Gautam, gehring, Geoffrey Irving, George Grzegorz Pawelczak, Grzegorz Pawelczak,
    Plain Text
    - Registered: 2020-09-15 10:32
    - Last Modified: 2020-09-10 02:08
    - 277.4K bytes
    - Viewed (0)
Back to top